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您好,感谢您的开源代码。
在Readme中您有说明,生成高分辨率时的训练流程是32->64->128->256, 每次训练都基于前一分辨率得到的model进行finetune。 这样的训练策略的确会比直接训练要容易得多,那请问您试过直接训练256分辨率吗,调整训练参数是否也能得到类似的效果?
The text was updated successfully, but these errors were encountered:
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您好,感谢您的开源代码。
在Readme中您有说明,生成高分辨率时的训练流程是32->64->128->256, 每次训练都基于前一分辨率得到的model进行finetune。
这样的训练策略的确会比直接训练要容易得多,那请问您试过直接训练256分辨率吗,调整训练参数是否也能得到类似的效果?
The text was updated successfully, but these errors were encountered: